Movielens hernandez_daniel

go/src/student_submissions/movielens/hernandez_daniel/go.mod

@@ -0,0 +1,11 @@
+module movielens
+
+go 1.22.6
+
+require github.com/kfultz07/go-dataframe v0.0.0-20240718202924-1901644284c7
+
+require (
+	github.com/aws/aws-sdk-go v1.44.57 // indirect
+	github.com/jmespath/go-jmespath v0.4.0 // indirect
+	golang.org/x/exp v0.0.0-20230817173708-d852ddb80c63 // indirect
+)

go/src/student_submissions/movielens/hernandez_daniel/go.sum

@@ -0,0 +1,27 @@
+github.com/aws/aws-sdk-go v1.44.57 h1:Dx1QD+cA89LE0fVQWSov22tpnTa0znq2Feyaa/myVjg=
+github.com/aws/aws-sdk-go v1.44.57/go.mod h1:y4AeaBuwd2Lk+GepC1E9v0qOiTws0MIWAX4oIKwKHZo=
+github.com/davecgh/go-spew v1.1.0 h1:ZDRjVQ15GmhC3fiQ8ni8+OwkZQO4DARzQgrnXU1Liz8=
+github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
+github.com/jmespath/go-jmespath v0.4.0 h1:BEgLn5cpjn8UN1mAw4NjwDrS35OdebyEtFe+9YPoQUg=
+github.com/jmespath/go-jmespath v0.4.0/go.mod h1:T8mJZnbsbmF+m6zOOFylbeCJqk5+pHWvzYPziyZiYoo=
+github.com/jmespath/go-jmespath/internal/testify v1.5.1 h1:shLQSRRSCCPj3f2gpwzGwWFoC7ycTf1rcQZHOlsJ6N8=
+github.com/jmespath/go-jmespath/internal/testify v1.5.1/go.mod h1:L3OGu8Wl2/fWfCI6z80xFu9LTZmf1ZRjMHUOPmWr69U=
+github.com/kfultz07/go-dataframe v0.0.0-20240718202924-1901644284c7 h1:ss8yd7vvaO+HMbZ5x9dnRyUWeX+Mlto1dpTJc/xKo/E=
+github.com/kfultz07/go-dataframe v0.0.0-20240718202924-1901644284c7/go.mod h1:78T0LPP6YPXqorHDU0teK01g3gjNAurB5TJW3o/AF5c=
+github.com/pkg/errors v0.9.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0=
+github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
+github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
+github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
+golang.org/x/exp v0.0.0-20230817173708-d852ddb80c63 h1:m64FZMko/V45gv0bNmrNYoDEq8U5YUhetc9cBWKS1TQ=
+golang.org/x/exp v0.0.0-20230817173708-d852ddb80c63/go.mod h1:0v4NqG35kSWCMzLaMeX+IQrlSnVE/bqGSyC2cz/9Le8=
+golang.org/x/net v0.0.0-20220127200216-cd36cc0744dd h1:O7DYs+zxREGLKzKoMQrtrEacpb0ZVXA5rIwylE2Xchk=
+golang.org/x/net v0.0.0-20220127200216-cd36cc0744dd/go.mod h1:CfG3xpIq0wQ8r1q4Su4UZFWDARRcnwPjda9FqA0JpMk=
+golang.org/x/sys v0.0.0-20210615035016-665e8c7367d1/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
+golang.org/x/sys v0.0.0-20211216021012-1d35b9e2eb4e/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
+golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=
+golang.org/x/text v0.3.7 h1:olpwvP2KacW1ZWvsR7uQhoyTYvKAupfQrRGBFM352Gk=
+golang.org/x/text v0.3.7/go.mod h1:u+2+/6zg+i71rQMx5EYifcz6MCKuco9NR6JIITiCfzQ=
+golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
+gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
+gopkg.in/yaml.v2 v2.2.8 h1:obN1ZagJSUGI0Ek/LBmuj4SNLPfIny3KsKFopxRdj10=
+gopkg.in/yaml.v2 v2.2.8/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=

go/src/student_submissions/movielens/hernandez_daniel/movielens.go

@@ -0,0 +1,301 @@
+package main
+
+import (
+	"encoding/csv"
+	"fmt"
+	"log"
+	"math"
+	"os"
+	"strconv"
+	"strings"
+	"sync"
+	"time"
+
+	"github.com/kfultz07/go-dataframe"
+)
+
+func main() {
+	start := time.Now()
+	mySplitFile("ratings.csv", 10, "./ADCC_project/csv_files/")
+	Mt_FindRatingsMaster()
+	duration := time.Since(start)
+	fmt.Println("Duration = ", duration)
+}
+
+func Mt_FindRatingsMaster() {
+	fmt.Println("In MtFindRatingsMaster")
+	nf := 10 // number of files with ratings is also number of threads for multi-threading
+
+	// generos is a 1D array that contains the Known Genres
+	generos := []string{"Action", "Adventure", "Animation", "Children", "Comedy", "Crime", "Documentary",
+		"Drama", "Fantasy", "Film-Noir", "Horror", "IMAX", "Musical", "Mystery", "Romance",
+		"Sci-Fi", "Thriller", "War", "Western", "(no genres listed)"}
+
+	ng := len(generos) // number of known genres
+	// ra is a 2D array where the ratings values for each genre are maintained.
+	// The columns signal/maintain the core number where a worker is running.
+	// The rows in that column maintain the rating values for that core and that genre
+	ra := make([][]float64, ng)
+	// ca is a 2D array where the count of Ratings for each genre is maintained
+	// The columns signal the core number where the worker is running
+	// The rows in that column maintain the counts for that that genre
+	ca := make([][]int, ng)
+	// populate the ng rows of ra and ca with nf columns
+	for i := 0; i < ng; i++ {
+		ra[i] = make([]float64, nf)
+		ca[i] = make([]int, nf)
+	}
+	var ci = make(chan int) // create the channel to sync all workers
+
+	movies := ReadMoviesCsvFile("./ADCC_project/csv_files/")
+	// run FindRatings in 10 workers
+	for i := 0; i < nf; i++ {
+		go Mt_FindRatingsWorker(i+1, ci, generos, &ca, &ra, movies)
+	}
+	// wait for the workers
+	iMsg := 0
+	go func() {
+		for {
+			i := <-ci
+			iMsg += i
+		}
+	}()
+	for {
+		if iMsg == nf {
+			break
+		}
+	}
+	// all workers completed their work. Collect results and produce report
+	locCount := make([]int, ng)
+	locVals := make([]float64, ng)
+	for i := 0; i < ng; i++ {
+		for j := 0; j < nf; j++ {
+			locCount[i] += ca[i][j]
+			locVals[i] += ra[i][j]
+		}
+	}
+
+	fmt.Println("Cuenta  ", ",", "Generos  ", ",", "Cuenta de eventos por genero")
+	for i := 0; i < ng; i++ {
+		fmt.Println(fmt.Sprintf("%2d", i), "  ,", fmt.Sprintf("%20s", generos[i]), " , ", fmt.Sprintf("%8d", locCount[i]))
+	}
+	fmt.Println("Cuenta  ", ",", "Generos  ", ",", "Suma de Ratings por genero")
+	for i := 0; i < ng; i++ {
+		fmt.Println(fmt.Sprintf("%2d", i), " , ", fmt.Sprintf("%20s", generos[i]), " , ", fmt.Sprintf("%.2f", locVals[i]))
+	}
+	fmt.Println("Cuenta  ", ",", "Generos  ", ",", "Promedio de Ratings por genero")
+	for i := 0; i < ng; i++ {
+		fmt.Println(fmt.Sprintf("%2d", i), " , ", fmt.Sprintf("%20s", generos[i]), " , ", fmt.Sprintf("%.2f", math.Round(locVals[i]/float64(locCount[i])*100)/100))
+	}
+
+	println("Mt_FindRatingsMaster is Done")
+}
+
+func Mt_FindRatingsWorker(w int, ci chan int, generos []string, ca *[][]int, va *[][]float64, movies dataframe.DataFrame) {
+	//aFileName := "./ADCC_project/splited_files/ratings_" + fmt.Sprintf("%02d", w) + ".csv"
+	aFileName := "ratings_" + fmt.Sprintf("%d", w-1) + ".csv"
+	path := "./ADCC_project/csv_files/"
+
+	println("Worker  ", fmt.Sprintf("%02d", w), "  is processing file ", aFileName, "\n")
+
+	ratings := ReadRatingsCsvFile(path, aFileName)
+	ng := len(generos)
+	start := time.Now()
+
+	// import all records from the movies DF into the ratings DF, keeping genres column from movies
+	//df.Merge is the equivalent of an inner-join in the DF lib I am using here
+
+	//fmt.Printf("Columnas de movies: %v (para worker %d)\n", movies.Columns(), w)
+	//fmt.Printf("Columnas de ratings: %v (para worker %d)\n", ratings.Columns(), w)
+
+	//fmt.Printf("Worker %d: Realizando merge\n", w)
+	fmt.Println("inicio de merge del worker %d", w-1)
+	ratings.Merge(&movies, "movieId", "genres")
+	//fmt.Printf("Worker %d: Merge realizado\n", w)
+
+	// We only need "genres" and "ratings" to find Count(Ratings | Genres), so keep only those columns
+	grcs := [2]string{"genres", "rating"} // grcs => Genres Ratings Columns
+	grDF := ratings.KeepColumns(grcs[:])  // grDF => Genres Ratings DF
+	for ig := 0; ig < ng; ig++ {
+		for _, row := range grDF.FrameRecords {
+			if strings.Contains(row.Data[0], generos[ig]) {
+				(*ca)[ig][w-1] += 1
+				v, _ := strconv.ParseFloat((row.Data[1]), 32) // do not check for error
+				(*va)[ig][w-1] += v
+			}
+		}
+	}
+	duration := time.Since(start)
+	fmt.Println("Duration = ", duration)
+	fmt.Println("Worker ", w-1, " completed")
+
+	// notify master that this worker has completed its job
+	ci <- 1
+}
+
+func ReadMoviesCsvFile(filePath string) dataframe.DataFrame {
+	f, err := os.Open(filePath)
+	if err != nil {
+		log.Fatal("Error while reading the file", err)
+	}
+	defer f.Close()
+
+	df := dataframe.CreateDataFrame(filePath, "movies.csv")
+	return df
+}
+
+func ReadRatingsCsvFile(filePath string, fileName string) dataframe.DataFrame {
+
+	f, err := os.Open(filePath)
+	if err != nil {
+		log.Fatal("Error while reading the file", err)
+	}
+	defer f.Close()
+
+	df := dataframe.CreateDataFrame(filePath, fileName)
+	return df
+}
+
+// Paquete para poder hacer split
+
+func getBatch(reader *csv.Reader) (int, int) {
+	rowCount := 0
+	for {
+		_, err := reader.Read()
+		if err != nil {
+			if err.Error() == "EOF" {
+				break
+			}
+			log.Fatal("Error reading record: ", err)
+		}
+		rowCount++
+	}
+
+	batchSize := 10
+	return int(math.Ceil(float64(rowCount) / float64(batchSize))), rowCount
+}
+
+func mySplitFile(fileName string, batchSize int, outDir string) {
+
+	inpDir := outDir
+	// Read files
+	file, err := os.Open(inpDir + fileName)
+	if err != nil {
+		log.Fatal("Error while reading the file", err)
+	}
+	defer file.Close()
+	reader := csv.NewReader(file)
+
+	// Getting the size per file
+	batch, len := getBatch(reader)
+	fmt.Println("Registros por archivo " + strconv.Itoa(batch))
+	fmt.Println("Registros del archivo archivo original " + strconv.Itoa(len))
+	file.Close()
+
+	// Read the file again to recover the pointer
+	file, err = os.Open(inpDir + "ratings.csv")
+	if err != nil {
+		log.Fatal("Error while reading the file", err)
+	}
+	defer file.Close()
+	reader = csv.NewReader(file)
+
+	var fields []string
+	first_record := true
+	batch_count := 0
+	file_number := 0
+	file_name := outDir + "ratings_" + strconv.Itoa(file_number) + ".csv"
+	csvFile, err := os.Create(file_name)
+	if err != nil {
+		log.Fatalf("failed creating file: %s", err)
+	}
+	defer csvFile.Close()
+
+	csvwriter := csv.NewWriter(csvFile)
+
+	type RecordWithFile struct {
+		Record []string
+		File   *csv.Writer
+	}
+	record_channel := make(chan RecordWithFile)
+
+	var to_write RecordWithFile
+	var wg sync.WaitGroup
+
+	wg.Add(1)
+	go func() {
+		defer wg.Done()
+		for {
+			record, err := reader.Read()
+			if err != nil {
+				if err.Error() == "EOF" {
+					close(record_channel)
+					break
+				}
+				log.Fatal("Error reading record: ", err)
+			}
+			if first_record {
+				fields = record
+				first_record = false
+			}
+
+			to_write.Record = record
+			to_write.File = csvwriter
+
+			record_channel <- to_write
+			batch_count++
+			if batch_count == batch {
+				csvwriter.Flush()
+				csvFile.Close()
+				fmt.Println("El archivo " + file_name + " ha sido creado con éxito")
+
+				file_number++
+				file_name = outDir + "ratings_" + strconv.Itoa(file_number) + ".csv"
+				csvFile, err = os.Create(file_name)
+				if err != nil {
+					log.Fatalf("failed creating file: %s", err)
+				}
+
+				csvwriter = csv.NewWriter(csvFile)
+				if err := csvwriter.Write(fields); err != nil {
+					log.Fatalln("error writing record to file", err)
+				}
+				batch_count = 0
+			}
+		}
+	}()
+
+	wg.Add(1)
+	go func() {
+		defer wg.Done()
+		for {
+			to_write, ok := <-record_channel
+			if !ok {
+				break
+			}
+			record := to_write.Record
+			csvwriter := to_write.File
+
+			if csvwriter != nil {
+				if err := csvwriter.Write(record); err != nil {
+					log.Fatalln("error writing record to file", err)
+				}
+			}
+		}
+
+	}()
+
+	wg.Wait()
+
+	if batch_count > 0 {
+		csvwriter.Flush()
+		csvFile.Close()
+		fmt.Println("El archivo " + file_name + " ha sido creado con éxito (último archivo)")
+	}
+
+}
+
+func saludar(nombre string) {
+
+}
+

go/src/student_submissions/movielens/hernandez_daniel/run.sh

@@ -0,0 +1,8 @@
+#Correr el comando: ./run.sh en terminal de MAC. 
+#Colocar el archivo de movies y rattings en la carpeta: /./ADCC_project/csv_files/
+#link al datasheet: https://grouplens.org/datasets/movielens/25m/
+export GO111MODULE=on
+echo "GO111MODULE=on"
+go build
+echo "go build OK"
+go run movielens.go